IBM jobs - Data Engineer Big Data
Data Engineer Big Data
0 to3 Years
Salary not disclosed
Posted:
3 Years ago
Views:
Applications:
Openings:
1
Job Description
Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
Be involved in data engineering activities like Creating pipelines / workflows for Source to Target etc.
Responsibilities:
Required Technical and Professional Expertise
Preferred Technical and Professional Expertise
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
Be involved in data engineering activities like Creating pipelines / workflows for Source to Target etc.
Responsibilities:
- You will be involved in the Azure Data platform implementation. Willing to work in shift timings 2PM to 11PM
- Responsible for assessing feasibility of migrating customer solutions and/or integrating with 3rd party systems both Microsoft and non-Microsoft platforms
- Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL
- Work with version control GitHub and CI/CD pipelines using Azure DevOps
Required Technical and Professional Expertise
- Total Years of Experience 5+ years in IT industry
- 2+ years current and deep experience with Azure Data platform implementation. Proven experience managing projects through the entire project lifecycle.
- Relevant years of experience 2+ years in Azure Data Factory, Azure Data Lake, Azure DevOps, Azure DataBricks, AzureSQL
- Proficient in Azure Data Integration, Azure Data Architecture
- Proven experience using the Microsoft Azure Data Stack (ADFv2, Azure SQL DB, Azure SQL Datawarehouse, Azure Data Lake, Azure Databricks, Analysis Services, Cosmos DB)
- Experience in Azure data migration patterns
- Experience in Python, C# is mandatory
- Agile methodology experience essential
- 3+ years’ experience assessing feasibility of migrating customer solutions and/or integrating with 3rd party systems both Microsoft and non-Microsoft platforms
- Hands on experience Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL
Preferred Technical and Professional Expertise
- AZ 900 - Azure Fundamentals
- DP 200, DP 201, DP 203, AZ 204 - Data Engineering
- AZ 400 - Devops Certification
- You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies
- Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work
- Intuitive individual with an ability to manage change and proven time management
- Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
- Up-to-date technical knowledge by attending educational workshops, reviewing publications
- Experience working with version control GitHub and CI/CD pipelines using Azure DevOps
Job Particulars
Education
BE/B.Tech
Who can apply
Freshers and Experienced (0 to3 Years )
Hiring Process
Face to Face Interview
Employment Type
Full Time
Job Id
709745
Job Category
IT/Software
State
Maharashtra
Country
India
About Company
International Business Machines Corporation (IBM) is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries. The company began in 1911, founded in Endicott, New York, as the Computing-Tabulating-Recording Company (CTR) and was renamed 'International Business Machines' in 1924.
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